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Analysis of single-cell data : ODE constrained mixture modeling and approximate bayesian computation / Carolin Loos
| Analysis of single-cell data : ODE constrained mixture modeling and approximate bayesian computation / Carolin Loos |
| Autore | Loos, Carolin |
| Pubbl/distr/stampa | Wiesbaden, : Springer Spektrum, 2016 |
| Descrizione fisica | XXI, 92 p. : ill. ; 24 cm |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
92C37 - Cell biology [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 92C42 - Systems biology, networks [MSC 2020] 92C45 - Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) [MSC 2020] |
| Soggetto non controllato |
Heterogeneity
Multivariate Data Parameter Estimation Snapshot Data Subpopulation Identification Time-Lapse Data |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione |
ger
eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114421 |
Loos, Carolin
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| Wiesbaden, : Springer Spektrum, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Analysis of single-cell data : ODE constrained mixture modeling and approximate bayesian computation / Carolin Loos
| Analysis of single-cell data : ODE constrained mixture modeling and approximate bayesian computation / Carolin Loos |
| Autore | Loos, Carolin |
| Pubbl/distr/stampa | Wiesbaden, : Springer Spektrum, 2016 |
| Descrizione fisica | XXI, 92 p. : ill. ; 24 cm |
| Soggetto topico |
62F15 - Bayesian inference [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 92C37 - Cell biology [MSC 2020] 92C42 - Systems biology, networks [MSC 2020] 92C45 - Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) [MSC 2020] |
| Soggetto non controllato |
Heterogeneity
Multivariate Data Parameter Estimation Snapshot Data Subpopulation Identification Time-Lapse Data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione |
ger
eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114421 |
|
Loos, Carolin
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| Wiesbaden, : Springer Spektrum, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / Jianqing Fan, Jianxin Pan editors
| Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / Jianqing Fan, Jianxin Pan editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xvii, 386 p. : ill. ; 24 cm |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
00B30 - Festschriften [MSC 2020] 62-XX - Statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Big Data
Composite design Covariance matrix Data Mining Experimental design Functional data High-Dimensional Data Longitudinal data Machine learning Multivariate Data Network data Quantile regression Robust Design Survival data Variable Selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248857 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / Jianqing Fan, Jianxin Pan editors
| Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / Jianqing Fan, Jianxin Pan editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xvii, 386 p. : ill. ; 24 cm |
| Soggetto topico |
00B30 - Festschriften [MSC 2020]
62-XX - Statistics [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Big Data
Composite design Covariance matrix Data Mining Experimental design Functional data High-Dimensional Data Longitudinal data Machine learning Multivariate Data Network data Quantile regression Robust Design Survival data Variable Selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248857 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Projection-Based Clustering through Self-Organization and Swarm Intelligence [[electronic resource] ] : Combining Cluster Analysis with the Visualization of High-Dimensional Data / / by Michael Christoph Thrun
| Projection-Based Clustering through Self-Organization and Swarm Intelligence [[electronic resource] ] : Combining Cluster Analysis with the Visualization of High-Dimensional Data / / by Michael Christoph Thrun |
| Autore | Thrun Michael Christoph |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2018 |
| Descrizione fisica | 1 online resource (XX, 201 p. 90 illus., 29 illus. in color.) |
| Disciplina | 006.4 |
| Soggetto topico |
Pattern recognition
Data structures (Computer science) Pattern Recognition Data Structures |
| Soggetto non controllato |
Cluster Analysis
Dimensionality Reduction Swarm Intelligence Visualization Unsupervised Machine Learning Data Science Knowledge Discovery 3D Printing Self-Organization Emergence Game Theory Advanced Analytics High-Dimensional Data Multivariate Data Analysis of Structured Data |
| ISBN | 3-658-20540-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Approaches to Unsupervised Machine Learning -- Methods of Visualization of High-Dimensional Data -- Quality Assessments of Visualizations -- Behavior-Based Systems in Data Science -- Databionic Swarm (DBS). |
| Record Nr. | UNINA-9910293141703321 |
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Thrun Michael Christoph
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| Cham, : Springer Nature, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Trends and Challenges in Categorical Data Analysis : Statistical Modelling and Interpretation / Maria Kateri, Irini Moustaki editors
| Trends and Challenges in Categorical Data Analysis : Statistical Modelling and Interpretation / Maria Kateri, Irini Moustaki editors |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xii, 315 p. : ill. ; 24 cm |
| Soggetto topico |
62Hxx - Multivariate analysis [MSC 2020]
62Jxx - Linear inference, regression [MSC 2020] |
| Soggetto non controllato |
Association models
Causality Classification Clustering Graphical Models Longitudinal data Measurement error Multivariate Data Ordinal Data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00279085 |
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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